⚡ Bolt: [performance improvement]

[teerthsharma]

💡 What: Optimized MLP::forward by extracting the first layer and passing the input directly as a reference, avoiding an initial clone of the input tensor.
🎯 Why: The original code unconditionally cloned the input tensor to seed a loop variable, triggering a redundant heap allocation for the tensor's metadata (shape and strides) and an unnecessary Rc increment.
📊 Impact: Reduces memory allocation overhead and Rc refcount operations during the forward pass of Multi-Layer Perceptrons.
🔬 Measurement: Verified by running the core test suite.

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PR created automatically by Jules for task 3797708357954099575 started by @teerthsharma

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